{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "UOBwOqK5vMNc"
      },
      "outputs": [],
      "source": [
        "# Note: You can select \"GPU\" on your Notebook\n",
        "# Click \"Runtime > Change runtime type\" and select \"T4 GPU\""
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Uncomment to install the ydata-synthetic package\n",
        "#!pip install ydata-synthetic==1.3.1"
      ],
      "metadata": {
        "id": "MCeXnMVqvY3R"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Time Series Synthetic Data Generation with DoppelGANger\n",
        "\n",
        "- DoppelGANger - Implemented accordingly to the [paper](https://dl.acm.org/doi/pdf/10.1145/3419394.3423643)\n",
        "- This notebook is an example of how DoppelGANger can be used to generate synthetic time-series data\n",
        "\n",
        "## Dataset\n",
        "\n",
        "- The data used in this notebook is the [Measuring Broadband America](https://www.fcc.gov/reports-research/reports/measuring-broadband-america/raw-data-measuring-broadband-america-seventh) (MBA) Dataset, freely available on the Federal Communications Commission (FCC) website. You can also find it [here](https://drive.google.com/drive/folders/19hnyG8lN9_WWIac998rT6RtBB9Zit70X) and a CVS was left for your convenience [here](https://github.com/ydataai/ydata-synthetic/blob/dev/data/fcc_mba.csv). It comprises:\n",
        "    - **2 continuous measurements** - traffic_byte_counter and ping_loss_rate\n",
        "    - **3 categorical metadata features** - isp, technology, and state"
      ],
      "metadata": {
        "id": "ihORt68K8e6W"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install ydata-synthetic==1.3.1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_I0Bt6CovihA",
        "outputId": "35f3c1ec-2f12-4b5f-e5cb-5888e61c8019"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow==2.12.0->ydata-synthetic==1.3.1) (0.5.0)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow==2.12.0->ydata-synthetic==1.3.1) (3.2.2)\n",
            "Installing collected packages: wrapt, tzdata, typing-extensions, tensorflow-probability, tensorflow-estimator, requests, py, keras, typeguard, pytest, pandas, pmlb, tensorboard, tensorflow, ydata-synthetic\n",
            "  Attempting uninstall: wrapt\n",
            "    Found existing installation: wrapt 1.15.0\n",
            "    Uninstalling wrapt-1.15.0:\n",
            "      Successfully uninstalled wrapt-1.15.0\n",
            "  Attempting uninstall: typing-extensions\n",
            "    Found existing installation: typing_extensions 4.5.0\n",
            "    Uninstalling typing_extensions-4.5.0:\n",
            "      Successfully uninstalled typing_extensions-4.5.0\n",
            "  Attempting uninstall: tensorflow-probability\n",
            "    Found existing installation: tensorflow-probability 0.20.1\n",
            "    Uninstalling tensorflow-probability-0.20.1:\n",
            "      Successfully uninstalled tensorflow-probability-0.20.1\n",
            "  Attempting uninstall: tensorflow-estimator\n",
            "    Found existing installation: tensorflow-estimator 2.13.0\n",
            "    Uninstalling tensorflow-estimator-2.13.0:\n",
            "      Successfully uninstalled tensorflow-estimator-2.13.0\n",
            "  Attempting uninstall: requests\n",
            "    Found existing installation: requests 2.31.0\n",
            "    Uninstalling requests-2.31.0:\n",
            "      Successfully uninstalled requests-2.31.0\n",
            "  Attempting uninstall: keras\n",
            "    Found existing installation: keras 2.13.1\n",
            "    Uninstalling keras-2.13.1:\n",
            "      Successfully uninstalled keras-2.13.1\n",
            "  Attempting uninstall: pytest\n",
            "    Found existing installation: pytest 7.4.1\n",
            "    Uninstalling pytest-7.4.1:\n",
            "      Successfully uninstalled pytest-7.4.1\n",
            "  Attempting uninstall: pandas\n",
            "    Found existing installation: pandas 1.5.3\n",
            "    Uninstalling pandas-1.5.3:\n",
            "      Successfully uninstalled pandas-1.5.3\n",
            "  Attempting uninstall: tensorboard\n",
            "    Found existing installation: tensorboard 2.13.0\n",
            "    Uninstalling tensorboard-2.13.0:\n",
            "      Successfully uninstalled tensorboard-2.13.0\n",
            "  Attempting uninstall: tensorflow\n",
            "    Found existing installation: tensorflow 2.13.0\n",
            "    Uninstalling tensorflow-2.13.0:\n",
            "      Successfully uninstalled tensorflow-2.13.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "google-colab 1.0.0 requires pandas==1.5.3, but you have pandas 2.0.3 which is incompatible.\n",
            "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.30.0 which is incompatible.\n",
            "yfinance 0.2.28 requires requests>=2.31, but you have requests 2.30.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed keras-2.12.0 pandas-2.0.3 pmlb-1.0.1.post3 py-1.11.0 pytest-6.2.5 requests-2.30.0 tensorboard-2.12.3 tensorflow-2.12.0 tensorflow-estimator-2.12.0 tensorflow-probability-0.19.0 typeguard-4.0.1 typing-extensions-4.8.0 tzdata-2023.3 wrapt-1.14.1 ydata-synthetic-1.3.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Importing the necessay modules\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from ydata_synthetic.synthesizers.timeseries import TimeSeriesSynthesizer\n",
        "from ydata_synthetic.synthesizers import ModelParameters, TrainParameters"
      ],
      "metadata": {
        "id": "nW7dsTZXvjWy"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Read the data\n",
        "mba_data = pd.read_csv(\"fcc_mba.csv\")\n",
        "numerical_cols = [\"traffic_byte_counter\", \"ping_loss_rate\"]\n",
        "categorical_cols = [col for col in mba_data.columns if col not in numerical_cols]"
      ],
      "metadata": {
        "id": "F-lcldFDwEe3"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Preview the dataset\n",
        "mba_data.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "XMv3IhQNwMCT",
        "outputId": "342e55c8-6c42-4567-dd0b-0fc298824f2c"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   traffic_byte_counter  ping_loss_rate          isp technology state\n",
              "0              0.001903             0.0  CenturyLink      Fiber    MN\n",
              "1              0.005421             0.0  CenturyLink      Fiber    MN\n",
              "2              0.003513             0.0  CenturyLink      Fiber    MN\n",
              "3              0.003307             0.0  CenturyLink      Fiber    MN\n",
              "4              0.002243             0.0  CenturyLink      Fiber    MN\n",
              "5              0.005589             0.0  CenturyLink      Fiber    MN\n",
              "6              0.003436             0.0  CenturyLink      Fiber    MN\n",
              "7              0.006160             0.0  CenturyLink      Fiber    MN\n",
              "8              0.002327             0.0  CenturyLink      Fiber    MN\n",
              "9              0.004787             0.0  CenturyLink      Fiber    MN"
            ],
            "text/html": [
              "\n",
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              "      <th>traffic_byte_counter</th>\n",
              "      <th>ping_loss_rate</th>\n",
              "      <th>isp</th>\n",
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              "      <th>6</th>\n",
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              "      <td>0.0</td>\n",
              "      <td>CenturyLink</td>\n",
              "      <td>Fiber</td>\n",
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              "\n",
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              "    async function quickchart(key) {\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "    </div>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Defining model and training parameters\n",
        "model_args = ModelParameters(batch_size=100,\n",
        "                             lr=0.001,\n",
        "                             betas=(0.2, 0.9),\n",
        "                             latent_dim=20,\n",
        "                             gp_lambda=2,\n",
        "                             pac=1)\n",
        "\n",
        "train_args = TrainParameters(epochs=400,\n",
        "                             sequence_length=56,\n",
        "                             sample_length=8,\n",
        "                             rounds=1,\n",
        "                             measurement_cols=[\"traffic_byte_counter\", \"ping_loss_rate\"])"
      ],
      "metadata": {
        "id": "nqJxxYzJwQSn"
      },
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Training the DoppelGANger synthesizer\n",
        "model_dop_gan = TimeSeriesSynthesizer(modelname='doppelganger',model_parameters=model_args)\n",
        "model_dop_gan.fit(mba_data, train_args, num_cols=numerical_cols, cat_cols=categorical_cols)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bl5N0XwUwZD2",
        "outputId": "a407e3bb-db5e-463c-d3e0-1b11aac65b8e"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ydata_synthetic/synthesizers/timeseries/doppelganger/network.py:13: UserWarning: `tf.layers.dense` is deprecated and will be removed in a future version. Please use `tf.keras.layers.Dense` instead.\n",
            "  output = tf.compat.v1.layers.dense(\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.10/dist-packages/keras/layers/normalization/batch_normalization.py:581: _colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Colocations handled automatically by placer.\n",
            "/usr/local/lib/python3.10/dist-packages/ydata_synthetic/synthesizers/timeseries/doppelganger/network.py:274: UserWarning: `tf.nn.rnn_cell.LSTMCell` is deprecated and will be removed in a future version. This class is equivalent as `tf.keras.layers.LSTMCell`, and will be replaced by that in Tensorflow 2.0.\n",
            "  cell = tf.compat.v1.nn.rnn_cell.LSTMCell(\n",
            "WARNING:tensorflow:`tf.nn.rnn_cell.MultiRNNCell` is deprecated. This class is equivalent as `tf.keras.layers.StackedRNNCells`, and will be replaced by that in Tensorflow 2.0.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.10/dist-packages/keras/layers/rnn/legacy_cells.py:1042: calling Zeros.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
            "WARNING:tensorflow:`tf.nn.rnn_cell.MultiRNNCell` is deprecated. This class is equivalent as `tf.keras.layers.StackedRNNCells`, and will be replaced by that in Tensorflow 2.0.\n",
            "WARNING:tensorflow:`tf.nn.rnn_cell.MultiRNNCell` is deprecated. This class is equivalent as `tf.keras.layers.StackedRNNCells`, and will be replaced by that in Tensorflow 2.0.\n",
            "WARNING:tensorflow:`tf.nn.rnn_cell.MultiRNNCell` is deprecated. This class is equivalent as `tf.keras.layers.StackedRNNCells`, and will be replaced by that in Tensorflow 2.0.\n",
            "100%|██████████| 400/400 [04:36<00:00,  1.45it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Generating new synthetic samples\n",
        "synth_data = model_dop_gan.sample(n_samples=600)\n",
        "synth_df = pd.concat(synth_data, axis=0)"
      ],
      "metadata": {
        "id": "T7oXAYCaweiQ"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a plot for each measurement column\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "plt.subplot(2, 1, 1)\n",
        "plt.plot(mba_data['traffic_byte_counter'].reset_index(drop=True), label='Real Traffic')\n",
        "plt.plot(synth_df['traffic_byte_counter'].reset_index(drop=True), label='Synthetic Traffic', alpha=0.7)\n",
        "plt.xlabel('Index')\n",
        "plt.ylabel('Value')\n",
        "plt.title('Traffic Comparison')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "\n",
        "plt.subplot(2, 1, 2)\n",
        "plt.plot(mba_data['ping_loss_rate'].reset_index(drop=True), label='Real Ping')\n",
        "plt.plot(synth_df['ping_loss_rate'].reset_index(drop=True), label='Synthetic Ping', alpha=0.7)\n",
        "plt.xlabel('Index')\n",
        "plt.ylabel('Value')\n",
        "plt.title('Ping Comparison')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "p2tGQ-TWyb2r",
        "outputId": "f38b82e9-7b53-483b-f56b-c524118c4de9"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Divide original data into sequences\n",
        "sequence_lenght = 56\n",
        "mba_sequences = []\n",
        "\n",
        "for i in range(0, len(mba_data), sequence_lenght):\n",
        "    sequence = mba_data.iloc[i:i+sequence_lenght]\n",
        "    mba_sequences.append(sequence)\n",
        "\n",
        "print(f\"Number of sequences: {len(mba_sequences)}\")\n",
        "print(f\"Size of each sequence: {mba_sequences[0].shape} (rows x columns)\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XZy7K5w6yif6",
        "outputId": "1c44d71d-9ae7-4355-c8f0-13777e08b9ff"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of sequences: 600\n",
            "Size of each sequence: (56, 5) (rows x columns)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose a random sequence\n",
        "import numpy as np"
      ],
      "metadata": {
        "id": "La8Caaqg1by8"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "obs = np.random.randint(len(mba_sequences))\n",
        "print(obs)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ws00aFFW2juu",
        "outputId": "671c8b9c-6f8e-449d-ed1c-b7959e7019d5"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "404\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a plot for each measurement column\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "plt.subplot(2, 1, 1)\n",
        "plt.plot(mba_sequences[obs]['traffic_byte_counter'].reset_index(drop=True), label='Real Traffic')\n",
        "plt.plot(synth_data[obs]['traffic_byte_counter'].reset_index(drop=True), label='Synthetic Traffic', alpha=0.7)\n",
        "plt.xlabel('Index')\n",
        "plt.ylabel('Value')\n",
        "plt.title('Traffic Comparison')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "\n",
        "plt.subplot(2, 1, 2)\n",
        "plt.plot(mba_sequences[obs]['ping_loss_rate'].reset_index(drop=True), label='Real Ping')\n",
        "plt.plot(synth_data[obs]['ping_loss_rate'].reset_index(drop=True), label='Synthetic Ping', alpha=0.7)\n",
        "plt.xlabel('Index')\n",
        "plt.ylabel('Value')\n",
        "plt.title('Ping Comparison')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "bI_BA7K44wEj",
        "outputId": "e53eba4f-61b6-46ab-f212-310358366dcd"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "synth_df.to_csv('synthetic_mba.csv', index=False)"
      ],
      "metadata": {
        "id": "_cRyJYAnGwpA"
      },
      "execution_count": 63,
      "outputs": []
    }
  ]
}